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eddy_plot.py
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eddy_plot.py
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'''
Plot eddy tracks
'''
# Load required modules
import numpy as np
from matplotlib import pyplot as plt
import mpl_toolkits.basemap as bm
import params
# Load eddy data
data_dir = './'
data_dir = params.data_dir
#run = 'cb_AVISO'
#data = np.load(data_dir+'eddy_track_'+run+'.npz')
#eddies_AVISO = data['eddies']
run = 'cb_NEMO'
data = np.load(data_dir+'eddy_track_'+run+'.npz')
eddies_CTRL = data['eddies']
#run = 'CTRL'
#data = np.load(data_dir+'eddy_track_'+run+'.npz')
#eddies_CTRL = data['eddies']
#run = 'A1B'
#data = np.load(data_dir+'eddy_track_'+run+'.npz')
#eddies_A1B = data['eddies']
# Plot eddy tracks
age_min_weeks = [4, 16, 32]
#age_min_weeks = [8, 32]
domain = [134, 180, -55, 0]
#domain = [90, 180, -55, 0]
plt.figure()
cnt = 1
for age in age_min_weeks:
#
age_min = age*7 # [days]
#
plt.subplot(3, len(age_min_weeks), cnt)
proj = bm.Basemap(projection='merc', llcrnrlat=domain[2], llcrnrlon=domain[0], urcrnrlat=domain[3], urcrnrlon=domain[1], resolution='i')
proj.drawcoastlines()
proj.drawparallels(range(-50,0+1,10), labels=[True,False,False,False])
proj.drawmeridians(range(140,180+1,10), labels=[False,False,False,True])
plt.title('Eddy age > ' + str(age) + ' weeks')
for ed in range(len(eddies_CTRL)):
#print ed
lon, lat = proj(eddies_CTRL[ed]['lon'], eddies_CTRL[ed]['lat'])
if (eddies_CTRL[ed]['age'] > age_min) & (eddies_CTRL[ed]['type'] == 'anticyclonic'):
plt.plot(lon, lat, 'r-')
plt.plot(lon[-1], lat[-1], 'ro')
if (eddies_CTRL[ed]['age'] > age_min) & (eddies_CTRL[ed]['type'] == 'cyclonic'):
plt.plot(lon, lat, 'b-')
plt.plot(lon[-1], lat[-1], 'bo')
plt.subplot(3, len(age_min_weeks), cnt+len(age_min_weeks))
proj = bm.Basemap(projection='merc', llcrnrlat=domain[2], llcrnrlon=domain[0], urcrnrlat=domain[3], urcrnrlon=domain[1], resolution='i')
proj.drawcoastlines()
proj.drawparallels(range(-50,0+1,10), labels=[True,False,False,False])
proj.drawmeridians(range(140,180+1,10), labels=[False,False,False,True])
plt.title('Eddy age > ' + str(age) + ' weeks')
#
#for ed in range(len(eddies_A1B)):
#lon, lat = proj(eddies_A1B[ed]['lon'], eddies_A1B[ed]['lat'])
#if (eddies_A1B[ed]['age'] > age_min) & (eddies_A1B[ed]['type'] == 'anticyclonic'):
#plt.plot(lon, lat, 'r-')
#plt.plot(lon[-1], lat[-1], 'ro')
#if (eddies_A1B[ed]['age'] > age_min) & (eddies_A1B[ed]['type'] == 'cyclonic'):
#plt.plot(lon, lat, 'b-')
#plt.plot(lon[-1], lat[-1], 'bo')
#
plt.subplot(3, len(age_min_weeks), cnt+2*len(age_min_weeks))
proj = bm.Basemap(projection='merc', llcrnrlat=domain[2], llcrnrlon=domain[0], urcrnrlat=domain[3], urcrnrlon=domain[1], resolution='i')
proj.drawcoastlines()
proj.drawparallels(range(-50,0+1,10), labels=[True,False,False,False])
proj.drawmeridians(range(140,180+1,10), labels=[False,False,False,True])
plt.title('Eddy age > ' + str(age) + ' weeks')
#
#for ed in range(len(eddies_AVISO)):
#lon, lat = proj(eddies_AVISO[ed]['lon'], eddies_AVISO[ed]['lat'])
#if (eddies_AVISO[ed]['age']*7 > age_min) & (eddies_AVISO[ed]['type'] == 'anticyclonic'):
#plt.plot(lon, lat, 'r-')
#plt.plot(lon[-1], lat[-1], 'ro')
#if (eddies_AVISO[ed]['age']*7 > age_min) & (eddies_AVISO[ed]['type'] == 'cyclonic'):
#plt.plot(lon, lat, 'b-')
#plt.plot(lon[-1], lat[-1], 'bo')
#
cnt += 1
#plt.show()
#plt.savefig('../../../documents/10_Tasman_Sea_Eddies/figures/eddies_OFAM_orig.pdf', bbox_inches='tight', pad_inches=0.5)
#plt.savefig('./eddies_OFAM_orig1.png', bbox_inches='tight', pad_inches=0.5)
plt.savefig(params.plot_dir+'eddies_OFAM_orig1.png', bbox_inches='tight', pad_inches=0.5)
domain = [134, 180, -50, -25]
plt.figure()
cnt = 1
for age in age_min_weeks:
#
age_min = age*7 # [days]
#
plt.subplot(2, len(age_min_weeks), cnt)
proj = bm.Basemap(projection='merc', llcrnrlat=domain[2], llcrnrlon=domain[0], urcrnrlat=domain[3], urcrnrlon=domain[1], resolution='i')
proj.drawcoastlines()
proj.drawparallels(range(-50,0+1,10), labels=[True,False,False,False])
proj.drawmeridians(range(140,180+1,10), labels=[False,False,False,True])
plt.title('Eddy age > ' + str(age) + ' weeks')
#
for ed in range(len(eddies_CTRL)):
lon, lat = proj(eddies_CTRL[ed]['lon'], eddies_CTRL[ed]['lat'])
if (eddies_CTRL[ed]['age'] > age_min) & (eddies_CTRL[ed]['type'] == 'anticyclonic'):
plt.plot(lon, lat, 'r-')
plt.plot(lon[-1], lat[-1], 'ro')
if (eddies_CTRL[ed]['age'] > age_min) & (eddies_CTRL[ed]['type'] == 'cyclonic'):
plt.plot(lon, lat, 'b-')
plt.plot(lon[-1], lat[-1], 'bo')
#
cnt += 1
#
plt.subplot(2, len(age_min_weeks), cnt)
proj = bm.Basemap(projection='merc', llcrnrlat=domain[2], llcrnrlon=domain[0], urcrnrlat=domain[3], urcrnrlon=domain[1], resolution='i')
proj.drawcoastlines()
proj.drawparallels(range(-50,0+1,10), labels=[True,False,False,False])
proj.drawmeridians(range(140,180+1,10), labels=[False,False,False,True])
plt.title('Eddy age > ' + str(age) + ' weeks')
#
#for ed in range(len(eddies_A1B)):
#lon, lat = proj(eddies_A1B[ed]['lon'], eddies_A1B[ed]['lat'])
#if (eddies_A1B[ed]['age'] > age_min) & (eddies_A1B[ed]['type'] == 'anticyclonic'):
#plt.plot(lon, lat, 'r-')
#plt.plot(lon[-1], lat[-1], 'ro')
#if (eddies_A1B[ed]['age'] > age_min) & (eddies_A1B[ed]['type'] == 'cyclonic'):
#plt.plot(lon, lat, 'b-')
#plt.plot(lon[-1], lat[-1], 'bo')
#
cnt += 1
# plt.savefig('../../../documents/10_Tasman_Sea_Eddies/figures/eddies_OFAM_orig.pdf', bbox_inches='tight', pad_inches=0.5)
# plt.savefig('../../../documents/10_Tasman_Sea_Eddies/figures/eddies_OFAM_orig.png', bbox_inches='tight', pad_inches=0.5)
#plt.savefig('./eddies_OFAM_orig2.png', bbox_inches='tight', pad_inches=0.5)
plt.savefig(params.plot_dir+'eddies_OFAM_orig2.png', bbox_inches='tight', pad_inches=0.5)
# Plot eddy generation locations
age_min = 32*7 # days
age_min = 16*7 # days
plt.figure()
plt.subplot(1, 2, 1)
proj = bm.Basemap(projection='merc', llcrnrlat=domain[2], llcrnrlon=domain[0], urcrnrlat=domain[3], urcrnrlon=domain[1], resolution='i')
proj.drawcoastlines()
proj.drawparallels(range(-50,0+1,10), labels=[True,False,False,False])
proj.drawmeridians(range(140,180+1,10), labels=[False,False,False,True])
plt.title('Eddy generation locations (CTRL)')
for ed in range(len(eddies_CTRL)):
lon, lat = proj(eddies_CTRL[ed]['lon'], eddies_CTRL[ed]['lat'])
if (eddies_CTRL[ed]['age'] > age_min) & (eddies_CTRL[ed]['type'] == 'anticyclonic'):
plt.plot(lon[0], lat[0], 'ro')
plt.plot(lon[-1], lat[-1], 'rx')
if (eddies_CTRL[ed]['age'] > age_min) & (eddies_CTRL[ed]['type'] == 'cyclonic'):
plt.plot(lon[0], lat[0], 'bo')
plt.plot(lon[-1], lat[-1], 'bx')
plt.subplot(1, 2, 2)
proj = bm.Basemap(projection='merc', llcrnrlat=domain[2], llcrnrlon=domain[0], urcrnrlat=domain[3], urcrnrlon=domain[1], resolution='i')
proj.drawcoastlines()
proj.drawparallels(range(-50,0+1,10), labels=[True,False,False,False])
proj.drawmeridians(range(140,180+1,10), labels=[False,False,False,True])
plt.title('Eddy generation locations (A1B)')
#for ed in range(len(eddies_A1B)):
#lon, lat = proj(eddies_A1B[ed]['lon'], eddies_A1B[ed]['lat'])
#if (eddies_A1B[ed]['age'] > age_min) & (eddies_A1B[ed]['type'] == 'anticyclonic'):
#plt.plot(lon[0], lat[0], 'ro')
#plt.plot(lon[-1], lat[-1], 'rx')
#if (eddies_A1B[ed]['age'] > age_min) & (eddies_A1B[ed]['type'] == 'cyclonic'):
#plt.plot(lon[0], lat[0], 'bo')
#plt.plot(lon[-1], lat[-1], 'bx')
plt.savefig(params.plot_dir+'last.png')